The combined effect of the big volume of data availability on a global scale and a significant increase in processing power offered by technologies like cloud computing has made it possible to unlock the true potential of machine learning algorithms, extract features from data, and expand the application domain of artificial intelligence. The need to adapt and incorporate the ever-growing field of AI and its technologies into current business practices is putting increasing pressure on industries to invest in their legacy systems. Supported by Intels AI Academy through their online and data processing resources, the skills you will learn can be applied to AI-enabled business strategies and marketing, management of database records, e-business technologies, IT system development and design, and IT project management.
A first degree, with honours, at a minimum final classification of Lower Second (2.2), or equivalent, in a Computing, Electronics, Mathematics or Statistics subject.
20 Hours of Work permit weekly for international students.
If English is not your first language you will be expected to demonstrate a certificated level of proficiency of at least IELTS 6.5 (Academic level- with no individual score being lower than 5.5) or equivalent English Language qualification, as recognised by Anglia Ruskin University.
Science
Cambridge
Postgraduate
Full-Time, 12/20 months
September
5.5
10000,
15800, (INT)
Canterbury, England
6.0
Postgraduate
Home full-time/part-time: TBC, EU/International full-time: £18000, EU/International part-time: £9000
Oxford, England
7.5
Postgraduate
30910
Bristol, England
6.5
Postgraduate
25200